Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Pallav Kumar Shrestha"'
Autor:
Husain Najafi, Pallav Kumar Shrestha, Oldrich Rakovec, Heiko Apel, Sergiy Vorogushyn, Rohini Kumar, Stephan Thober, Bruno Merz, Luis Samaniego
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Despite considerable advances in flood forecasting during recent decades, state-of-the-art, operational flood early warning systems (FEWS) need to be equipped with near-real-time inundation and impact forecasts and their associated uncertain
Externí odkaz:
https://doaj.org/article/9db97413fbb646a4871eb8260b146159
Autor:
Kingsley Nnaemeka Ogbu, Oldrich Rakovec, Pallav Kumar Shrestha, Luis Samaniego, Bernhard Tischbein, Hadush Meresa
Publikováno v:
Hydrology, Vol 9, Iss 9, p 158 (2022)
Hydrologic modeling in Nigeria is plagued by non-existent or paucity of hydro-metrological/morphological records, which has detrimental impacts on sustainable water resource management and agricultural production. Nowadays, freely accessible remotely
Externí odkaz:
https://doaj.org/article/6bcf77a3289b4a92ae9749d9b66fc812
Autor:
Pallav Kumar Shrestha, Narendra Man Shakya, Vishnu Prasad Pandey, Stephen J. Birkinshaw, Sangam Shrestha
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 974-996 (2017)
This study is the first to assess land subsidence in the Kathmandu Valley, Nepal. Land subsidence simulations were based on a fully calibrated groundwater (GW) flow model developed using a coupled surface–subsurface modelling system. Subsidence is
Externí odkaz:
https://doaj.org/article/a95199ad5d314d13ad28104d1919ff73
Publikováno v:
APN Science Bulletin, Vol 8, Iss 1 (2018)
Externí odkaz:
https://doaj.org/article/802bb27006be4001b5986b713f916ed7
An experimental hydrological forecasting system has been developed for Germany (https://www.ufz.de/HS2SForcasts4Germany) at high resolution (1 km). Since early 2021, the hydrological forecasting system provides operational ensemble forecasts for soil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbb6c0a457b21af3da9ac581f5c12d2e
https://doi.org/10.5194/egusphere-egu23-15775
https://doi.org/10.5194/egusphere-egu23-15775
Disruptive reservoirs hold back an enormous amount of water, hike evaporation loss and alter the magnitude and timing of streamflow at all scales. Thus, any hydrological model (HM) must correctly represent reservoirs in the simulation. There are two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67e96571f82c5eae3209fb9de39e871b
https://doi.org/10.5194/egusphere-egu23-7545
https://doi.org/10.5194/egusphere-egu23-7545
Autor:
Ehsan Modiri, Luis Samaniego, Robert Schweppe, Pallav Kumar Shrestha, Oldrich Rakovec, Matthias Kelbling, Alberto Martínez-de La Torre, Edwin Sutanudjaja, Eleanor Blyth, Niko Wanders, Stephan Thober
A primary objective of hydrological modelling (HM) is to monitor the water balance in catchments and provide forecasts of key variables and fluxes (i.e., soil moisture and streamflow) at the seasonal scale. Within the Copernicus Climate Change Servic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed5f776306e8ee2f06c1060c906bb779
https://doi.org/10.5194/egusphere-egu23-14943
https://doi.org/10.5194/egusphere-egu23-14943
Our study provides a global assessment of water balance components accounting for the uncertainty in globally available precipitation products. This assessment is carried out consistently using a multiscale modelling framework established over more t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ced7e408e5b35c74f5c038b50ac53b84
https://doi.org/10.5194/egusphere-egu23-11945
https://doi.org/10.5194/egusphere-egu23-11945
Autor:
Meresa, Kingsley Nnaemeka Ogbu, Oldrich Rakovec, Pallav Kumar Shrestha, Luis Samaniego, Bernhard Tischbein, Hadush
Publikováno v:
Hydrology; Volume 9; Issue 9; Pages: 158
Hydrologic modeling in Nigeria is plagued by non-existent or paucity of hydro-metrological/morphological records, which has detrimental impacts on sustainable water resource management and agricultural production. Nowadays, freely accessible remotely
Autor:
Pallav Kumar Shrestha, Luis Samaniego, Stephan Thober, Alberto Martínez-de La Torre, Edwin Sutanudjaja, Oldrich Rakovec, Matthias Kelbling, Eleanor Blyth, Niko Wanders
It is a well-known fact that multi-model forecast systems provide greater reliability over single-model systems, as hydrological models have a solid contribution to forecast uncertainty [1]. Yet many prevalent skill scores for verification of forecas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3110eb607e79c89fc04835ca3bdd5e61
https://doi.org/10.5194/egusphere-egu22-6456
https://doi.org/10.5194/egusphere-egu22-6456